摘要
为了解决机械装配行业工艺知识提取困难的问题,提出一种基于粗糙集理论的装配知识发现方法,给出其计算机软件实现方案,并用实例验证方法的有效性。该方法运用粗糙集中属性重要度的概念和方法,实现属性核和属性约简的求解,并根据约简挖掘隐含在经验数据中的专家知识,形成相应的决策规则。实例验证结果说明,该方法可以有效地提高装配效率和装配知识的学习。
A knowledge discovery method for mechanical assembly based on rough set is proposed in this paper in order to solve the difficulty in knowledge discovery of mechanical assembly industry.Software for implementation of this method is described and verified.The method for computing the core and attribute reduction is designed based on the importance of attribute in accordance with reduction implicit in the experience of data mining expert knowledge and then generates the corresponding decision rules.The feasibility and effectiveness of system is discussed through a case study.
出处
《广西科学院学报》
2012年第1期31-34,共4页
Journal of Guangxi Academy of Sciences
关键词
知识发现
粗糙集
机械装配
knowledge discovery
rough set
mechanical assembly
